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End of training
Browse files- README.md +23 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scaler.pt +3 -0
- checkpoint-500/scheduler.bin +3 -0
- logs/dreambooth-lora-sd-xl/1699631595.9739683/events.out.tfevents.1699631595.0a7a4f38d2ab.3780.1 +3 -0
- logs/dreambooth-lora-sd-xl/1699631595.9757836/hparams.yml +53 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1699631595.0a7a4f38d2ab.3780.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
README.md
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---
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license: openrail++
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base_model: segmind/SSD-1B
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instance_prompt: mjrh
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tags:
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- stable-diffusion-xl
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- stable-diffusion-xl-diffusers
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- text-to-image
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- diffusers
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- lora
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inference: true
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---
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# LoRA DreamBooth - jsram/lora-bicycle-SSD-1B
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These are LoRA adaption weights for segmind/SSD-1B. The weights were trained on mjrh using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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LoRA for the text encoder was enabled: False.
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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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checkpoint-500/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:8a1676315aaff16ad85f1660fe94c90400e9ef1b365ef05fd20c104ebb92c7c1
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size 7706996
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checkpoint-500/pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:301a543c40d1e2dae5060944658c2509b88d18b476b6dbe9d0753c18e495a772
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size 10912792
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checkpoint-500/random_states_0.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:d3ef42518cc5a997e5af1fd62089525f2381d05ed5cc1a1b64987116d408f8e9
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size 14280
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checkpoint-500/scaler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:18b984273ea2d45b7ffb1d047bb359d93111e41fcad70d16a1b453fd38f72636
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size 988
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checkpoint-500/scheduler.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6cf34ac8dd2addc454aeb1ee4eaba3267c2841857e117be40ac2ed02cf581c9c
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size 1000
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logs/dreambooth-lora-sd-xl/1699631595.9739683/events.out.tfevents.1699631595.0a7a4f38d2ab.3780.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:69af865d5f6d8b4b0a594e116189198497e243acdded6e5dee4da3a4ec5d6681
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size 2695
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logs/dreambooth-lora-sd-xl/1699631595.9757836/hparams.yml
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adam_beta1: 0.9
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adam_beta2: 0.999
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adam_epsilon: 1.0e-08
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adam_weight_decay: 0.01
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allow_tf32: false
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center_crop: true
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checkpointing_steps: 500
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checkpoints_total_limit: null
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class_data_dir: null
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class_prompt: null
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crops_coords_top_left_h: 0
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crops_coords_top_left_w: 0
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dataloader_num_workers: 0
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 4
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gradient_checkpointing: true
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hub_model_id: null
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hub_token: null
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instance_data_dir: /content/drive/MyDrive/mjrh
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instance_prompt: mjrh
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learning_rate: 0.0001
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local_rank: -1
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logging_dir: logs
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lr_num_cycles: 1
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lr_power: 1.0
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lr_scheduler: constant
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lr_warmup_steps: 0
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max_grad_norm: 1.0
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max_train_steps: 500
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mixed_precision: fp16
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num_class_images: 100
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num_train_epochs: 125
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num_validation_images: 4
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output_dir: lora-bicycle-SSD-1B
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pretrained_model_name_or_path: segmind/SSD-1B
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pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
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prior_generation_precision: null
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prior_loss_weight: 1.0
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push_to_hub: true
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rank: 4
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report_to: tensorboard
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resolution: 1024
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resume_from_checkpoint: null
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revision: null
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sample_batch_size: 4
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scale_lr: false
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seed: 0
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train_batch_size: 1
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train_text_encoder: false
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use_8bit_adam: true
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validation_epochs: 50
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validation_prompt: null
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with_prior_preservation: false
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logs/dreambooth-lora-sd-xl/events.out.tfevents.1699631595.0a7a4f38d2ab.3780.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:712eff3e7994089d46298861b61c3865f2a22bb53b85d8748becfa4b2a30267c
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size 135746
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pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:301a543c40d1e2dae5060944658c2509b88d18b476b6dbe9d0753c18e495a772
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size 10912792
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